Dr Fabio Caraffini

I am Associate Professor (Research & Innovation) in Computer Science at De Montfort University (DMU) within the Institute of Artificial Intelligence of the School of Computer Science and Informatics.

I hold two PhDs: I am a doctor in Computer Science (De Montfort University, UK, 2014)  and a docotr in Mathemtical Information Technolgy  (University of Jyväskylä, Finland, 2016) respectively. I have a BSc in  Electronics Engineering (University of Perugia, Italy, 2008) and an MSc in Telecommunications  Engineering (University of Perugia, Italy, 2011) and I am a Fellow of the Higher Education Academy (FHEA).  

 I am currently the

• programe leader of MSc Intelligence Systems (IS);
• programme leader of MSc Intelligence Systems & Robotics (ISR);
• duputy subject group leader of Games Mathemetics & Intelligent Systems;

and I am the module leader of the

• IMAT1223 Calculus I and IMAT1225 Calculus II modules (programme of Mathematics);
• IMAT5232 Computational Intelligence Optimisation module (programmes of  IS/ISR).

 

Institute of Artificial Intelligence (IAI)
Centre for Computational Intelligence (CCI)

Google Scholar    Research Gate   Publons   Personal Website

• F. Caraffini, F. Neri, G. Iacca, and A. Mol. Parallel memetic structures. Information Sciences 227(0):60 – 82, 2013
• F. Caraffini, F. Neri, and L. Picinali. An analysis on separability for memetic computing automatic design. Information Sciences, 265(0):1 – 22, 2014
• Fabio Caraffini, Anna V. Kononova, David Corne, Infeasibility and structural bias in differential evolution, Information Sciences, Volume 496, 2019, Pages 161-179, ISSN 0020-0255.
• F. Caraffini, G. Iacca. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms. Mathematics. 2020; 8(5):785.
• J. Florez-Lozano, F. Caraffini, C. Parra, M. Gongora. Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Information Fusion (2020).

Computational Intelligence with a focus on Metaheuristic optimisation: 

• Memetic computing
• Differential evolution
• Evolutionary conputation
• Large scale optimisation
• Structural bias in optimisation algorithms

Mchine learning, Data Mining and AI for:

• precision agriculture
• remote sensing
• optimal use of land
• medical applications
• society enhancment

• Mathematics
• Computer Science

• Certificate in Research Supervision (CRS)
• Beginning to teach in Higher Education
• PGCertHE (Distinction)
• Fellow of the Higher Eduction Academy (FHEA)

IMAT2800 AI and Modelling

IMAT2605 C++ for Games Programmers

IMAT1203 Mathematical Methods and Models

IMAT1901 Quantitative Methods

IMAT1204 Foundations and Algebra

• 2016 Publons 'Sentinel of Science' top reviewer award for Computer Science
• 2016 Publons 'Sentinel of Science' top reviewer award  for Mathematics
• Jan-June 2015 Jyväskylä Grant for Computing and Mathematical Sciences [10250 EUR]
• Jan-June 2012 Jyväskylä Grant for Computing and Mathematical Sciences [10250 EUR]
• April 2013 IEEE CIS outstnding Student Travel Grant 2013 [500 USD]
• April 2013 Laxton Bequest and Consolidated Travel Funds (DMU) [800 GBP]
• Jul 2012-Jun 2014 PhD bursary (De Montfort university) [26K GBP] May-Sep 2011
• TUCEP Fund for International Internships [2500 EUR]

• Task Force on Memetic Computing
• IEEE Computational Intelligence Society, 2012 today, Member
• Advisory committee memeber of IEEE ICIERA-2021

• IEEE, 2012 - today
• IEEE CIS, 2012 - today

• EvoApplications at Evo*2017-2018 [auhor and presenter]
• IEEE SSCI 2014, 9th-12th December 2014, Orlando, Florida [co-chair and author]
• IEEE SSCIS 2013, 16th-19th April 2013, Singapore [author and presenter]
• UKCI 2012, 5th-7th September 2012, Edinburgh, UK [author and presenter]
• IEEE WCCI 2020, 19 - 24th July, 2020, Glasgow (UK) [co-chair and author]
• PPSN 2020, Leident, The Nethrelands, September 5-9, 2020 [author]

Mr Matthew Fox (2nd supervisor)

• Newton-Fund Royal Academy of Engineering grant [50k GBP] (webpage) 

• GCRF competition 2018/2019 (DMU) [23.5K GBP] (webpage)

Invited talks:

• Optimisation Applications in Engineering (Nov 2018, EIA University, Colombia)
• Metaheuristic Optimisation: from theory to tool implementation (Nov 2018, EIA)

I have been invited to join the programme committee os several conference and the editorial boead of journlas. Details are available in my public CV (PDF). 

Research shows 25% of Britain could have avoided lockdown during COVID-19 crisis

• https://www.dmu.ac.uk/about-dmu/news/2020/june/research-shows-25-of-britain-could-have-avoided-lockdown-during-covid-19-crisis.aspx
• https://www.mkfm.com/news/local-news/milton-keynes-could-have-avoided-lockdown-with-a-protective-cordon-around-the-city-say-researchers/
  
  

Supercomputer created on the cheap:

• http://primeurmagazine.com/weekly/AE-PR-08-13-107.html

• Dr Johana Florez-Lozano, Pontifical Xavierian University, 14/11/2019
• Raymond Moodly, De Montfort University, 17/01/2020
• Dinesh Mothi 2020, De Montfort University, 19/06/2020